Lensky Itamar

Prof.
Head of the GIS and Remote Sensing Lab
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CV

EDUCATION

1991   B.Sc. Physics,   Magna Cum Laude   Hebrew University of Jerusalem, Israel (HUJI)

1994   M.Sc. Atmospheric Sciences, Summa Cum Laude   HUJI

2004   Ph.D. Atmospheric Sciences,   HUJI

 

ACADEMIC AFFILIATIONS/APPOINTMENTS

1994   Research Assistant, Center for Climate System Research, Tokyo University, Japan

1996   Teaching Assistant, Dept. Atmospheric Sciences, HUJI

2003   Research Associate, Dept. Atmospheric Sciences, HUJI

2004   Instructor, Dept. Geography and Environment, Bar-Ilan University, Ramat-Gan, Israel (BIU)

2006   Lecturer, Dept. Geography and Environment, BIU

2011   Senior Lecturer, Dept. Geography and Environment, BIU

2014   Associate Prof., Dept. Geography and Environment, BIU

2016   Chair, Dept. Geography and Environment

Specialization fields

1. Cloud microphysics, cloud-aerosols interactions

2. Satellite remote sensing in agriculture

3. Remote sensing of the Dead Sea surface – skin temperature and suspended matter

4. Remote sensing and epidemiology

5. The effect of atmospheric processes of different scales on land surface temperature

6. Time series analysis of satellite data

Publications

38. Helman, D., Lensky, I. M., Osem, Y., Rohatyn, S., Rotenberg, E., and Yakir, D., 2017: A biophysical approach using drought stress factor for daily estimations of evapotranspiration and CO2 uptake in high-energy water-limited environments, Biogeosciences, 14, 3909-3926, https://doi.org/10.5194/bg-14-3909-2017.

37. Weil G., I. M. Lensky, and N. Levin, 2017: Using ground observations of a digital camera in the VIS-NIR range for quantifying the phenology of Mediterranean woody species. International Journal of Applied Earth Observation and Geoinformation, 62, 88-101.

36. Rose J., Y. Nachum-Biala, K. Mumcuoglu, M. A. Alkhamis, A. Ben-Nun, I. Lensky, E. Klement, A. Nasereddin, Z. A. Abdeen, S. Harrus, 2017: Genetic characterization of spotted fever group rickettsiae in questing Ixodid ticks collected in Israel and environmental risk factors for their infection. Parasitology, 1-14. doi:10.1017/S0031182017000336

35. Helman D., Y. Osem, D. Yakir, and I. M. Lensky 2016: Relationships between climate, topography, water use and productivity in two key Mediterranean forest types with different water- use strategies. Agricultural and Forest Meteorology, 232, 319-330.

34. Kahana-Sutin E., E. Klement, I. Lensky, and Y. Gottlieb, 2016: High relative abundance of the stable fly Stomoxys calcitrans is associated with Lumpy Skin Disease outbreaks in Israeli dairy farms. Medical and Veterinary Entomology. doi:10.1111/mve.12217

33. Helman D., I. M. Lensky, D. Yakir, and Y. Osem 2016: Forests growing under dry conditions have higher hydrological resilience to drought than do more humid forests. Glob Change Biol. doi:10.1111/gcb.13551.

2015

32. Helman D., I. M. Lensky, N. Tessler  and Y. Osem, 2015: A phenology-based method for monitoring annual and perennial vegetation in Mediterranean forests from NDVI time seriesRemote Sensing, 20157(9), 12314-12335; doi:10.3390/rs7091231

31. Helman D., A. Givati, and I. M. Lensky, 2015: Annual evapotranspiration retrieved solely from satellites’ vegetation indices for the Eastern MediterraneanAtmospheric Chemistry and Physics, 15, 12567-12579. doi:10.5194/acp-15-12567-2015

30. Blum M., I. M. Lensky, P. Rempoulakis and D. Nestel, 2015: Modeling insect population fluctuations with satellite land surface temperatureEcological Modeling. 311, 39-47.  doi:10.1016/j.ecolmodel.2015.05.005

29. Ordano M., I. Engelhard, P. Rempoulakis, E. Nemny-Lavy, M. Blum, S. Yasin, I. M. Lensky, N. T. Papadopoulos, and D. Nestel, 2015: Olive fruit fly (Bactrocera oleae) population dynamics in the Eastern Mediterranean: Influence of exogenous uncertainty on a monophagous frugivorous insectPLoS ONE 10(5): e0127798. doi:10.1371/journal. pone.0127798 

28. Rotem-Mindali O., Y. Michael, D. Helman, and I. M. Lensky, 2015: The role of local land-use on the urban heat island effect of Tel Aviv as assessed from satellite remote sensingApplied Geography, 56, 145-153. doi:10.1016/j.apgeog.2014.11.023

27. Lensky, I. M., and U. Dayan, 2015: Satellite observations of land surface temperature patterns induced by synoptic circulationInternational Journal of Climatology. 35(2), 189-195. doi: 10.1002/joc.3971

26. Mussery A., S. Leu, A. Budovsky, and I. M. Lensky, 2015: Plant-Soil Interactions and Desertification: A Case Study in the Northern Negev, Israel. Arid Land Research and Management, 29(1),  doi:10.1080/15324982.2014.933455

2014

25. Steinman A., Aharonson-Raz, K., S. E. Blum, A. Shnaiderman, E. Klement, I. M. Lensky, D. W. Horohov, A. E. Page, 2014: Demographic and Environmental Risk Factors for Exposure to Lawsonia intracellularis in Horses in IsraelJournal of Equine Veterinary Science, 34, 641-646.      doi:10.1016/j.jevs.2013.12.003

24. Helman, D., I. M. Lensky, A. Mussery, S. Leu, 2014: Rehabilitating degraded drylands by creating woodland islets: Assessing long-term effects on aboveground productivity and soil fertilityAgricultural and Forest Meteorology195–196, 52-60, doi: 10.1016/j.agrformet.2014.05.003.

23. Aharonson-Raz, K., A. Rapoport, I. M. Hawari, I. M. Lensky, D. Berlin, D. Zivotofsky, E. Klement, A. Steinman, 2014: Novel description of force of infection and risk factors associated with Theileria equi in horses in Israel and in The Palestinian AuthorityTicks Tick-borne Dis., 5(4), 366-372. doi: org/10.1016/j.ttbdis.2014.01.002

22. Helman D., A. Mussery, I. MLensky, and S. Leu, 2014: Using satellite-derived vegetation index to detect changes in biomass productivity in different land management regimes in drylandsSoil Use and Management. 30, 32-39. doi: 10.1111/sum.12099

2013

21. Nehorai R., N. Lensky, S. Brenner and I. M. Lensky, 2013: The Dynamics of the Skin Temperature of the Dead SeaAdvances in Meteorology, 2013, 296714. doi:10.1155/2013/296714

20. Nehorai R., I. M. Lensky, L. Hochman, I. Gertman, S. Brenner, A. Muskin, and N. G. Lensky, 2013: Satellite Observations of Turbidity in the Dead SeaJ. Geophys. Res., 118(6), 3146–3160. doi:10.1002/jgrc.20204

19. Blum, M., I. M. Lensky, and D. Nestel, 2013: Estimation of olive grove canopy temperature from MODIS thermal imagery is more accurate than interpolation from meteorological stationsAgricultural and Forest Meteorology176, 90-93. doi:10.1016/j.agrformet.2013.03.007

18. Mussery, A., S. Leu, I. Lensky and A. Budovsky, 2013: The Effect of Planting Techniques on Arid Ecosystems in the Northern NegevArid Land Research and Management27, 90-100. doi:10.1080/15324982.2012.719574

2012

17. Morag, N., E. Klement, Y. Saroya, I. M. Lensky, and Y. Gottlieb, 2012: Prevalence of the symbiont Cardinium in Culicoides (Diptera: Ceratopogonidae) vector species is associated with land surface temperatureFASEB Journal  fj.12-210419; doi:10.1096/fj.12-210419

16. Goldstein E., Y. Cohen, A. Hetzroni, I. M. Lensky, U. Zig, and L. Tsror (Lahkim), 2012: A knowledge-based prediction model of Verticillium dahliae and its use for rational crop rotationComputers and Electronics in Agriculture85, 112-122. doi: 10.1016/j.compag.2012.02.011

15. Steinman A., T. Zimmerman, E. Klement, I. M. Lensky, D. Berlin, Y. Gottlieb, G. Baneth, 2012: Demographic and environmental risk factors for infection by Theileria equi in 590 horses in IsraelVeterinary Parasitology, 187, 558-562. doi:10.1016/j.vetpar.2012.01.018

14. Lensky, I. M., and U. Dayan, 2012: Continuous detection and characterization of the sea breeze in clear sky conditions using Meteosat Second GenerationAtmos. Chem. Phys.12, 6505–6513. doi:10.5194/acp-12-6505-2012

2011

13. Lensky, I. M., and U. Dayan, 2011: Detection of fine-scale climatic features from satellites and possible implications for Agricultural Planning. Bull. Amer. Meteor. Soc., 92, 1131-1136. doi:10.1175/2011BAMS3160.1

2010

12. Drori, R., and I. M. Lensky, 2010: Monitoring the evolution of cloud phase profile using MSG dataAtmospheric Research97, 577-582. doi:10.1016/j.atmosres.2010.05.009.

2009

11. Nehorai, R., I. M. Lensky, N. G. Lensky, and S. Shiff 2009: Remote sensing of the Dead Sea surface temperature. J. Geophys. Res., 114, C05021, doi:10.1029/2008JC005196.

2008

10. Lensky, I. M., and D. Rosenfeld, 2008: Clouds-Aerosols-Precipitation Satellite Analysis Tool (CAPSAT)Atmos. Chem. Phys., 8, 6739-6753.

9. Lensky, I. M., and V. Levizzani, 2008: Estimation of precipitation from space based platforms. In: Precipitation: Advances in measurement, estimation and prediction. S. Michaelides, Ed., Springer, 193-216.

2007

8. Lensky, I. M., and S. Shiff, 2007: Using MSG to monitor the evolution of severe convective storms over East Mediterranean sea and Israel, and its response to aerosol loading. Adv. Geosci., 12, 95–100.

7. Lensky, I. M., and R. Drori, 2007: A Satellite-Based Parameter to Monitor the Aerosol Impact on Convective Clouds. J. Appl. Meteor. & Clim., 45, 660-666.

2006

6. Rosenfeld, D., I. M. Lensky, J. Peterson, and A. Gingis, 2006: Potential impacts of air pollution aerosols on precipitation in AustraliaClean Air and Environmental Quality, 41, 43-49.

5. Lensky, I. M., and D. Rosenfeld, 2006: The time-space exchangeability of satellite retrieved relations between cloud top temperature and particle effective radius Atmos. Chem. Phys.6, 2887-2894.

2003

4. Lensky, I. M., and D. Rosenfeld, 2003: A night rain delineation algorithm for infrared satellite data based on microphysical considerationsJ. Appl. Meteor. 42, 1218-1226.

3. Lensky, I. M., and D. Rosenfeld, 2003: Satellite-based insights into precipitation formation processes in continental and maritime convective clouds at nighttimeJ. Appl. Meteor, 42, 1227-1233.

1997-8

2. Rosenfeld, D., and I. M. Lensky, 1998: Satellite-based insights into precipitation formation processes in continental and maritime convective cloudsBull. Amer. Meteor. Soc., 79, 2457-2476.

1. Lensky, I. M., and D. Rosenfeld, 1997: Estimation of precipitation area and rain intensity based on the microphysical properties retrieved from NOAA AVHRR dataJ. Appl. Meteor., 36, 234-242.

Research

Clouds
My interest in clouds include remote sensing of cloud microphysics using multispectral satellite data (Lensky and Rosenfeld, 1997), retrieval of precipitation formation processes in daytime (Rosenfeld and Lensky, 1998) and nighttime (Lensky and Rosenfeld, 2003a; Lensky and Rosenfeld, 2003b), cloud aerosols interactions (Lensky and Drori, 2007), and cloud phase (Drori and Lensky, 2010).

I developed a software that uses data from the 11 spectral bands of the European geostationary satellite Meteosat Second Generation (MSG) for qualitative (RGB display) and quantitative analysis of clouds and aerosols and the interaction between them (Lensky and Rosenfeld, 2008). This tool was used to verify one of the assumptions standing at the base of the method for retrieval of precipitation formation processes (Lensky and Rosenfeld, 2006), and is also used by the training department of EUMETSAT.

 

Epidemiology

I use time series analysis of satellite data for research involving epidemiology of vector born diseases (Morag et al. 2012; Steinman et al. 2012).


Dead Sea.
The water level Dead Sea is declining by more than 1 m/yr, with resulting sinkholes and deteriorated nearby infrastructure. At the same time, the level of the evaporation pond of the Dead Sea Works is rising, endangering nearby hotels. These motivated different national and international projects. My research in the Dead Sea includes:
Characterization of the diurnal and seasonal cycles of the Dead Sea surface temperature (Nehorai et al. 2009).
The processes occurring in the skin layer of the Dead Sea (~10 mm) (Nehorai et al. 2013).
Suspended mater in the Dead Sea: sources, transport and dynamics. Suspended mater affect the appearance of the Dead Sea and the quality of brine pumped into evaporation ponds (Nehorai et al. 2013).

These studies were conducted together with Nadav Lensky (GSI), and were funded by the World Bank: “Red Sea – Dead Sea Water Conveyance Study Program”; The Dead Sea preservation government company: “Alternative dumping sites in the Dead Sea for harvested salt from pond 5”, and the Dead Sea Works: “The expected quality of the Dead Sea brine expected to be pumped in the planned pumping station P9”.


Agriculture.
Field crops, fruit trees, and arthropods (pests in agriculture and transmitters of diseases), are sensitive to ambient temperature (Lensky and Dayan, 2011). Arthropods are sensitive to several environmental variables such as land surface temperature, vegetation and soil moisture. I use time series of satellite data and field data to study the dynamics of pests in order to predict damage in crops (with Yafit Cohen, ARO), transmission of disease in sheep and cattle (with Eyal Klement, HUJI).
I use time series analysis of vegetation index to assess the relative contribution of perennial and annual vegetation in arid regions and the effects of grazing and tiling on soil fertility in arid regions (Helman et al, 2014).

Moshe Blum is a PhD candidate that uses satellite data to retrieve Olive tree canopy temperature (Blum et al. 2013), as input for assessing Olive fly population. The supervision is wiyh David Nestel (ARO).


Atmospheric processes at different scales
I am studying with Uri Dayan (HUJI) the factors that affect land surface temperature in different spatial and temporal scales: Topo-climate (Lensky and Dayan, 2011), Mesoscale: sea breeze (Lensky and Dayan, 2012), and synoptic scale. Insights that emerge from this research have immediate applications in the fields mentioned above. In addition, this study may shed light on the interaction between atmospheric processes in different scales, which is one of the key factors to uncertainty regarding forecasts of climate models in the coming decades.



I also use time series analysis of satellite data to identify clouds and aerosols. So far, spectral and morphological information were used to delineate clouds. Now I develop cloud cover detection using these methods. The Israel Meteorological Service is funding a project that implements these methods for operational use.